Design

Green Productivity for the Circular Economy

Green Productivity for the Circular Economy

Potentials through digitalization
Verena Luisa Aufderheide ORCID Icon
The Circular Economy (CE) is a form of economy that extends the use of products and resources by developing the linear supply chain (SC) to a circular SC. However, additional input factors are required for remanufacturing and recycling. Furthermore, these processes generate additional environmental impacts. It is questionable whether the circulation of products is only worthwhile from an economic point of view or whether it also brings environmental advantages. An approach that relates the economic impact of a product to its environmental impact is the Green Productivity Index (GPI). In the following, this index is developed for CE. Furthermore, this article examines how digitalization can positively affect the Green Productivity (GP) of CE. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 41-45
Industrial Robots in Additive Manufacturing

Industrial Robots in Additive Manufacturing

Norbert Babel
The use of industrial robots in additive manufacturing has been increasing in recent years. Particularly due to the voluminous installation space and the great flexibility, they are predestined for the production of large-volume, individualised components. The multi-axis movement options of the print head attached to the end effector in conjunction with a swivel-tilt unit of the build platform mean that support structures can be dispensed with, which represents a major economic advantage.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 60-63
Integration of Agile Product Development and Ecodesign at SME

Integration of Agile Product Development and Ecodesign at SME

Lösungsstrategien für umweltverträgliche Produkte und Produktionsprozesse im Kontext von Kleinunternehmen
Manuel Löwer, Tim Katzwinkel, Dominik Limbach
The political and social request for environmentally compatible products is putting companies under increasing pressure. Small and medium-sized companies (SME) in particular have to quickly find or develop solutions to these demands. This paper presents a methodological approach that combines the proven strategies of agile development with the specific activities of so-called ecodesign. The methodology is first discussed theoretically and then experimentally evaluated and discussed by means of a case study in a real company context.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 46-50 | DOI 10.30844/IM_23-2_46-50
Climate Neutrality and Digitization

Climate Neutrality and Digitization

A maturity-based approach to identifying measures in production
Stefan Seyfried ORCID Icon, Lukas Martin, Matthias Weigold
Climate neutrality and digitisation are two future-relevant and interlinked topics that are gaining in importance for manufacturing companies. However, especially for small and medium-sized enterprises (SMEs), it is often difficult to get an overview of the concepts and practical measures in these fields. This article presents a maturity model that offers companies practical assistance in combining the goals of climate neutrality and digitisation and in identifying suitable (digitisation) measures for the company to support the transformation towards climate-neutral production. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 51-55
AI-Supported Optimization of Repetitive Processes

AI-Supported Optimization of Repetitive Processes

A coding technique for repetitive processes in evolutionary optimization
Christina Plump, Rolf Drechsler, Bernhard J. Berger
Optimisation is an essential task in many situations. The class of evolutionary algorithms is a population-based, heuristic technique for optimisation. They allow the optimisation of multi-modal problems even with distorted search spaces. They can propose several solutions instead of just one. An important aspect of evolutionary algorithms is encoding search space candidates. In the optimisation of processes, this is a non-trivial task. This article describes a successfully tested encoding.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 19-22
Comparing Industry 4.0 Maturity Models

Comparing Industry 4.0 Maturity Models

Jochen Schumacher, Norbert Gronau ORCID Icon
In recent years, numerous maturity models have been developed with the aim of providing a clear indication of the progress each company has made in terms of Industry 4.0 development. However, not all models include all aspects of Industry 4.0. The models are also not equally practical. This article offers an in-depth comparison and assessment of the comprehensiveness of the ten most important Industry 4.0 maturity models.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 16-33 | DOI 10.30844/I4SE.23.1.16
Planning Assistance in Production and Logistics

Planning Assistance in Production and Logistics

Supervised learning for predicting process steps in the planning of logistics processes
Marius Veigt, Lennart M. Steinbacher, Michael Freitag ORCID Icon
The competitive pressure in the contract logistics industry is intense. Logistics providers must respond to tenders quickly and with convincing concepts. This article presents initial approaches to how logistics process planning in tender management can be supported using supervised learning methods. Under the premise that similar processes from past projects can be transferred and adapted to a project to be planned, an AI-based assistance system suggests appropriate process steps and MTM (Methods-Time Measurement) codes during planning. This procedure can accelerate process planning and lead to an increased quality of logistics processes to be planned. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 9-13
Decentralized Tact Time Control in Assembly

Decentralized Tact Time Control in Assembly

Simplifying robust control of assembly lines via the I4.0 box
Sander Lass, Tim Körppen
In theory, decentralized control approaches in the manufacturing context offer several advantages over monolithic centralized systems where all functions are combined into one or into several authorities. However, practical implementation requires adaptation of the general concept of decentralization to fit individual and specific use cases, especially with regard to their sensible scope. One such use case is the assembly of high-variation products. This article shows the appropriate combination of centralized and decentralized approaches can be leveraged to achieve better planning and increased throughput in manufacturing. With flexible cycle control for work stations and suitable assistance at the assembly workstation, the previous shop-floor oriented organization style can be transformed into a series-like manufacturing process. This is done using a multi-layered infrastructure that follows the Industry 4.0 paradigm of decentralized information processing through autonomous ...
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 34-40 | DOI 10.30844/I4SE.23.1.34
My Colleague Is a Robot

My Colleague Is a Robot

Acceptance of collaborative robotics in warehouses
Frederic Jacob, Eric Grosse ORCID Icon, Stefan Morana, Cornelius J. König
Warehousing is a very labor- and cost-intensive task in many companies. Digitization and automation of manual warehouse processes can increase efficiency, reduce costs and relieve employees. Collaborative robots that share work tasks with employees are increasingly used in warehouses. However, the pure techno-centric use of such robots can negatively influence the acceptance of human-robot collaboration. Various influences such as fear of job loss, higher cognitive stress, expected extra effort, or concerns about injuries can hinder human-robot collaboration and negatively impact economic benefits. This paper presents possible barriers to the acceptance of collaborative robotics in warehouses and discusses recommended actions for human-centered, sustainable human-robot collaboration.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 23-26
Determining Sustainable Application System Architectures

Determining Sustainable Application System Architectures

EAM as enabler for the design of transferable AI solutions
André Ullrich ORCID Icon, Norbert Gronau ORCID Icon
The need to sometimes respond very quickly to changes requires companies to have a high degree of flexibility and speed of reaction. Application system architectures, which usually consist of old and self-developed systems, often do not allow companies to meet these requirements. However, investment funds for new software are limited, so priorities must be set when it comes to replacing legacy systems. An adaptability analysis is an efficient analysis method for planning the renewal of the application system landscape. This article describes the procedure and results of an adaptability analysis, using the example of an internationally active automotive supplier.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 46-52 | DOI 10.30844/I4SE.23.1.46
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